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Job Title: Specialist Software Engineering Location: Bengaluru Type: Full-Time Level: Senior Engineer About BetaNXT BetaNXT is redefining connected wealth management infrastructure with next-gen, real-time data solutions that streamline operations, enhance advisor productivity, and elevate the investor experience. By combining the strength of our trusted platforms Beta, Maxit, and Mediant we deliver flexible, scalable solutions that anticipate the evolving needs of the wealth management industry. We help firms transform legacy systems into strategic assets, enabling enterprise scale, cost efficiency, and accelerated growth. About the Role We are looking for a Specialist Software Engineering to join our Product Engineering team. This is an exciting opportunity for an experienced and technically driven engineer passionate about enterprise integration, legacy modernization, and building mission-critical systems. You ll play a key role in developing complex software solutions, collaborating with architects and cross-functional teams, and helping shape the next generation of our platform. Key Responsibilities Lead the design, development, and enhancement of complex software components and systems. Collaborate with Solution Architects and other stakeholders to define scalable, efficient solutions. Develop and maintain both new features and legacy systems in alignment with business and technical requirements. Conduct unit and integration testing to ensure software quality and compliance. Perform code reviews, provide feedback, and mentor junior engineers. Contribute to architectural discussions, risk assessments, and solution planning. Participate in Agile planning, providing effort estimates and technical inputs. Maintain clear, detailed technical documentation to support future maintenance and development. Provide regular progress updates, and support production systems and on-call rotations when needed. Drive knowledge sharing and help build technical capability across the team. Qualifications & Experience Must-Have 7+ years of experience in Enterprise Application Integration and Mainframe Technologies. Deep expertise in COBOL, JCL, CICS, DB2, VSAM, including CICS Web Services and Transaction Server 3.1. Experience with integration technologies: IBM Integration Bus (IIB 10) IBM App Connect Enterprise (ACE 12) IBM MQ Series, IBM DataPower Proficiency with mainframe tools: TSO, File-Aid, Syncsort, Platinum, Abend-Aid, Mainview Familiarity with JCL utilities and version control systems such as ChangeMan. Understanding of performance tuning metrics: CPU usage, response time, network latency, etc. Proven experience working in Agile/SCRUM teams. Strong analytical thinking, collaboration, and communication skills. Good to Have Exposure to modern DevOps practices, GIT, or CI/CD pipelines. Master s degree or relevant professional certifications. Work on high-impact platforms powering the wealth management industry. Be part of a modernization journey transforming legacy infrastructure into future-ready systems. Collaborate with cross-functional, global teams in a fast-paced and inclusive environment. Grow within a company that values technical excellence, innovation, and continuous learning. Qualification : Masters degree or relevant professional certifications

Position: Manager - Analytics Location: SEZ4, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 6 to 9 years Job Overview: We are seeking an experienced Manager - Analytics to lead a team of talented data scientists in delivering impactful data-driven solutions. The ideal candidate will have a solid background in analytical methodologies, including machine learning, statistical modeling, and business analytics. You ll be responsible for collaborating with business stakeholders, driving the design and development of advanced analytics models, and ensuring the delivery of high-quality insights that support strategic decision-making. Key Responsibilities: Analytical Methodology: Research, evaluate, and implement new analytical methodologies and approaches to build innovative data-driven solutions. Utilize a blend of mathematics, statistics, machine learning, and business knowledge to solve complex problems. Business Collaboration: Work closely with business leaders and data owners to define key problems and challenges, ensuring the solutions developed have a significant impact on the business. Team Leadership: Lead and mentor a team of junior data scientists, guiding them through the development, deployment, and refinement of machine learning models in a production setting. Advanced Modeling: Utilize a wide range of analytical models, including reliability models, Markov models, stochastic models, Bayesian modeling, classification models, neural networks, and more to address business challenges effectively. Hands-On Expertise: Apply strong hands-on skills in R and Python, using libraries such as NLTK and Sklearn for developing machine learning models and data analysis. Large Data Management: Work with large datasets and distributed computing frameworks like MapReduce, Hadoop, and Hive, ensuring scalable and efficient data processing. Continuous Improvement: Stay up to date with the latest advancements in analytics and machine learning, continually enhancing models and methodologies to deliver cutting-edge insights. Required Technical Skills: Hands-on Experience in Python & R: Strong proficiency in R and Python programming, with experience in libraries such as NLTK, Sklearn, and other machine learning frameworks. Advanced Statistical & Machine Learning Techniques: Proven expertise in at least one of the following: Reliability models Markov Models Stochastic models Bayesian Modelling Classification Models Cluster Analysis Neural Networks NLP (Natural Language Processing) Deep Learning Non-parametric Methods Multivariate Statistics Big Data Tools: Experience working with large datasets and distributed computing platforms such as MapReduce, Hadoop, Hive, etc. Soft Skills: Leadership & Collaboration: Strong leadership skills with the ability to mentor a team of junior data scientists. Excellent collaboration and communication skills to work with business and technical teams. Problem-Solving & Critical Thinking: Ability to approach complex business problems analytically and come up with data-driven solutions. Continuous Learning: A passion for staying up to date with the latest trends and advancements in analytics, machine learning, and data science. At Subex, you ll have the opportunity to work on cutting-edge projects that make a tangible impact on the business. If you're passionate about leading analytics teams and leveraging data science to drive business success, we would love to have you on board.

Architect Infrastructure Solutions Location: Bangalore (Bengaluru) Experience: 8 to 12 Years Job Role: Infrastructure Solutions Architect Industry: IT Infrastructure & Cloud Services Job Summary: We are seeking a skilled Infrastructure Solutions Architect to design, document, and lead enterprise infrastructure projects, including virtualization, data center upgrades, migrations, and cloud integration. The ideal candidate will have hands-on experience with infrastructure technologies and the ability to deliver comprehensive design documentation and presentations. Key Responsibilities: Architect, design, and document enterprise infrastructure solutions including VMware virtualization, Nutanix, NetApp, EMC, and Windows Servers Develop high-level and low-level design diagrams, technical documentation, and detailed solution specifications Lead infrastructure upgrade, refresh, migration, and Hyper-Converged Infrastructure (HCI) projects Design and implement solutions for server, storage, backup, data center, high availability, disaster recovery, and business continuity Collaborate closely with cross-functional teams including server, network, architecture, operations, engineering, and project management Define and promote infrastructure best practices and standards Analyze existing infrastructure and recommend improvements for performance, cost efficiency, and scalability Prepare technical presentations and documentation using tools like Microsoft Visio and PowerPoint to communicate solutions, timelines, and costs Connect on-premises infrastructure with cloud technologies to enable hybrid solutions Required Skills & Qualifications: Bachelor s or Master s degree in Information Technology, Computer Science, or related field 8-12 years of experience in infrastructure architecture design, implementation, and support Minimum 5 years of experience as an infrastructure solutions architect in large enterprises Hands-on infrastructure engineering experience (5+ years) including data center design and migrations Strong expertise in virtualization platforms such as VMware and HCI technologies like Nutanix Deep knowledge of storage solutions including NetApp, EMC, and backup technologies like Rubrik and Zerto Experience managing Windows Servers and Active Directory environments Solid understanding of cloud technologies and automation tools Proficiency in creating detailed technical documentation and architecture diagrams Excellent communication, presentation, and problem-solving skills Lead impactful infrastructure transformation projects in a dynamic enterprise environment Collaborate with global teams and advance your skills in cloud and data center technologies Work on cutting-edge infrastructure solutions supporting business continuity and disaster recovery Qualification : Bachelors or Masters degree in Information Technology, Computer Science, or related field

Head of Engineering India Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko: Serko is a cutting-edge technology platform revolutionizing global business travel and expense management. We are a passionate team of travelers and technologists connecting people through the world s leading business travel marketplace. As an equal opportunity employer, we embrace diversity and authenticity to create meaningful impact globally. With offices across New Zealand, Australia, North America, China, and now Bengaluru, India, we are rapidly expanding our footprint. Role Overview: We are seeking a visionary Head of Engineering to lead and scale our engineering organization in India. This leadership role bridges technical execution and business strategy, ensuring that engineering teams deliver impactful, scalable solutions aligned with company goals. You will mentor senior engineering leaders, foster a culture of innovation, and guide architectural and operational excellence. Key Responsibilities: Define and champion the long-term technical vision aligned with Serko s strategic goals while encouraging innovation and adoption of emerging technologies. Mentor and empower Senior Engineering Managers and Principal Engineers to lead effectively and drive technical and organizational execution. Facilitate cross-functional collaboration with Product, Design, Operations, and executive teams by aligning priorities and simplifying complex technical strategies. Translate strategy into actionable outcomes by setting clear OKRs and KPIs focused on team performance, delivery reliability, and engineering excellence. Oversee architecture decisions for critical systems, balancing innovation, technical sustainability, and business value. Drive continuous improvement in engineering practices, including Agile workflows, code reviews, and CI/CD processes to boost productivity and quality. Manage budgets and resource allocation thoughtfully to ensure teams have what they need to succeed while maintaining fiscal responsibility. Cultivate a thriving, inclusive engineering culture that supports career growth, diversity, and global collaboration. What You ll Bring: Proven leadership experience managing engineering teams of various sizes, especially in high-growth or product-driven environments. Strong strategic acumen with the ability to align technical efforts with business objectives through pragmatic decision-making. Collaborative mindset with a track record of building trusted partnerships across Product, Design, Operations, and other functions. Operational expertise in Agile delivery, continuous improvement, and data-driven engineering process enhancements. Excellent communication skills to translate complex technical ideas into clear, actionable priorities for diverse audiences. Passion for building inclusive, engaged, and high-performing teams, including experience designing organizational structures and career paths across geographies. Benefits: Competitive base salary. Comprehensive medical benefits. Discretionary incentive plan based on individual and company performance. Access to learning and development platforms with ownership of career growth. Flexible work policies supporting work-life balance. A supportive environment with modern tools to empower your best work.

Senior IT Operations Engineer Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Staff Finance Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader advancing industrial digital transformation through AI and data with flagship products like Cognite Atlas AI and Cognite Data Fusion. We are recognized as innovators and partners of choice in sectors including Oil & Gas, Chemicals, Pharma, and Manufacturing. Role Overview Join Cognite s Global IT Operations team in Bengaluru, where you will design, deploy, and maintain cloud infrastructure and IT systems critical to business operations. Your role will encompass managing Azure and SaaS platforms, automating processes, troubleshooting complex issues, and collaborating with teams to enable seamless IT services. Key Responsibilities Architect and manage cloud infrastructure solutions across Microsoft Azure, Google Workspace, and Atlassian tools. Handle IAM, user provisioning, and SaaS management with in-depth expertise in Microsoft Intune, Jamf Pro, and security tools. Develop automation using Terraform, PowerShell, Python, and manage CI/CD pipelines with GitHub. Provide hands-on support including access management, technical troubleshooting, and resolving issues across diverse SaaS platforms (Azure, GWS, Atlassian, Slack). Document IT processes and collaborate with internal teams to enhance IT operations. Your Profile 5 8 years experience in IT Cloud Infrastructure and IT Operations. Strong expertise in Microsoft EntraID, Intune, Azure, Google Workspace, and Atlassian products (Jira, Confluence). Proficient in scripting and automation with PowerShell, Python, Terraform, and GitHub version control. Experience with ITSM tools, preferably Jira Service Management. Bachelor s or Master s degree in IT or related field. Collaborative, service-minded, and patient with problem-solving and troubleshooting. Comfortable working with Windows and macOS environments, and security tools like Microsoft Defender and Jamf Protect. Diverse global team with 70+ nationalities and strong DEI focus. Modern, vibrant office environment in Bengaluru with hybrid work flexibility. Flat organization providing direct access to decision-makers. Work on innovative projects impacting major industries worldwide. Engage in an active community and partner ecosystem. Qualification : Bachelors or Masters degree in IT or related field.

Job Title: Node.js Developer Location: Bengaluru, India Company: Culinda Inc. Industry: Cybersecurity, Medical Device Protection Type: Full-time Experience: 3+ Years About Us: At Culinda Inc., we are dedicated to safeguarding critical medical equipment and ensuring patient safety. As part of our innovative approach to cybersecurity, we focus on providing cutting-edge solutions to protect medical devices, particularly those used in US hospitals. Join our dynamic team to help secure medical IoT devices and contribute to impactful work in healthcare cybersecurity. Position Overview: We are seeking an experienced Node.js Developer to join our cybersecurity team in Bengaluru. In this role, you will be responsible for developing and maintaining high-performance back-end systems using Node.js. Your contributions will directly support the security and integrity of medical IoT devices and related cybersecurity solutions. Key Responsibilities: Back-End Development: Collaborate with cross-functional teams and subject matter experts to design and implement robust back-end solutions using Node.js. Develop, test, and maintain high-performance Node.js applications and APIs. Optimization & Troubleshooting: Contribute to the optimization of existing code and the development of new functionalities. Troubleshoot and debug issues to ensure the stability, security, and integrity of systems. Collaboration & Code Quality: Participate in code reviews and provide constructive feedback to ensure high-quality code. Implement best practices for security and data protection in all development efforts. Continuous Improvement: Actively stay updated with the latest trends and best practices in Node.js development. Work with the team to continuously improve system performance, security, and scalability. Basic Qualifications: Educational Qualification: Bachelor's degree in Computer Science, Software Engineering, or a related field. Professional Experience: 3+ years of experience as a Node.js Developer, with a strong portfolio of Node.js-based applications. Technical Skills: Proficiency in Node.js programming. Experience with web frameworks, such as Express.js or Nest.js. Experience in RESTful API development. Familiarity with front-end technologies (HTML, CSS, JavaScript) and integration with Node.js back-end. Knowledge of SQL and NoSQL database systems. Soft Skills: Strong problem-solving skills. Good communication and teamwork skills. Additional Desired Qualifications: Familiarity with cybersecurity fundamentals. Understanding of IoT and IoMT (Internet of Medical Things) devices. Knowledge of cloud platforms (AWS, Google Cloud, Azure). Experience with containerization technologies (e.g., Docker). Familiarity with version control systems (e.g., Git). Understanding of DevOps principles. Familiarity with data analysis and preprocessing. Knowledge of AI and ML concepts. Be part of an innovative and growing company dedicated to cybersecurity and medical device protection. Work on cutting-edge technologies that impact patient safety and healthcare systems. Collaborative environment with opportunities for growth and career advancement. Competitive compensation package and benefits. If you're passionate about building secure and high-performance back-end systems in a dynamic environment, we d love to hear from you! Apply now and help us safeguard the future of healthcare technology. Qualification : Bachelor's degree in Computer Science, Software Engineering, or a related field.

Full Stack Developer - Job Description Experience Required: 4-8 Years Career Level: IC2 Overview: We are looking for a Full Stack Developer with a strong background in Oracle SQL, Java/J2EE, SOAP, and REST web services to join our team. The ideal candidate should have experience in both front-end and back-end technologies and be comfortable working in a collaborative environment. Knowledge of DevOps, Microservices, and cloud technologies is a plus. The developer will contribute to product implementation and support, ensuring the delivery of high-quality solutions that meet business requirements. Technical and Professional Requirements: Back-end Skills: Strong knowledge of Oracle SQL, PL/SQL, and Java/J2EE. Experience with SOAP and REST-based web services. Front-end Skills: Proficient in JavaScript, HTML. Testing and Tools: Familiar with JUnit, JMeter, Eclipse, GIT, Jira, Ant, and Unix Shell scripting. Additional Knowledge: Exposure to OBIEE, BIP. Experience with DevOps, Microservices, Docker, and Kubernetes is an advantage. Middleware and Security: Familiar with application servers like WebLogic, Tomcat, JBoss. Knowledge of middleware concepts (e.g., JMS, MQ, OSB). Understanding of security concepts (e.g., PKI, SSO, SAML). Deployment & Cloud: Good understanding of container deployment and cloud technology. SDLC & Process Knowledge: Experience with SDLC methodologies (Waterfall, Agile). Familiar with Design/Code reviews. Key Responsibilities: Software Development & Delivery: Design, develop, and deliver software solutions. Contribute independently to product implementation and support efforts. Collaboration & Stakeholder Interaction: Work closely with developers, designers, business analysts, and system analysts. Engage with banks and partners for the delivery of Oracle deliverables. Adherence to Oracle Processes: Follow Oracle s internal processes for development and delivery. Innovation & Problem-Solving: Proactively identify and address technical challenges and bottlenecks. UI/UX Design: Assist with the use of tools for storyboarding, UI prototyping, and screen mock-ups. Diversity and Inclusion: At Oracle, we are committed to fostering an inclusive culture that values diversity and promotes innovation. We believe that diverse insights lead to creative solutions and that everyone s voice should be heard and valued. Oracle encourages individuals from all backgrounds to apply, providing reasonable accommodations during the job application and interview process for individuals with disabilities. Employee Benefits: Oracle offers a comprehensive suite of employee benefits, including medical, life insurance, retirement planning, and more. We are committed to providing a balanced work-life environment and giving back to the communities we serve.

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Our Company At Adobe, we re transforming the world through digital experiences. We provide everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. We believe that new ideas can come from anywhere in the organization, and the next big idea could be yours! Responsibilities Own the development of features of medium to large complexity, applying in-depth knowledge to turn requirements into architectural and feature specifications. Contribute extensively to the analysis, design, prototyping, and implementation of new features while improving existing ones. Address broad architecture and design issues for current and future products or technologies, providing strategic direction in evaluating new technologies. Collaborate with product management and engineering leads to evaluate and determine new features to be added. Be a proactive self-starter and fast learner who can develop methods, techniques, and evaluation criteria to achieve results. Specialize in one or more platforms and be knowledgeable of cross-platform issues and customer requirements. Significantly contribute towards the development and application of sophisticated concepts, technologies, and expertise within the team. Ensure high-quality code and related documentation. What You Need to Succeed B.Tech/M.Tech from an outstanding institute with 3 to 5 years of hands-on design and development experience in software development, preferably in a product development organization. Strong programming skills in Java. Hands-on experience with REST APIs and message pub/sub models. Proven understanding of frameworks like Spring Boot and Apache Kafka. Knowledge of software fundamentals, including design & analysis of algorithms, data structure design, implementation, documentation, and unit testing. Good understanding of object-oriented design, product life cycles, and associated issues. Strong computer science fundamentals with a solid understanding of architecture, design, and performance. Ability to work proactively and independently with minimal direction. Be an excellent teammate with strong written and oral communication skills. Pure Innovation: We celebrate those who think critically, embrace challenges, and aspire to be trailblazers. Pure Growth: At Adobe, we give you the space and support to grow, contribute meaningfully, and expand your horizons. Pure Team: We build each other up and set aside egos for the greater good. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B.Tech/M.Tech from an outstanding institute with 3 to 5 years of hands-on design / development experience in software development, preferably in a product development organization.

Software Engineer at Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and building software for data privacy or security (e.g., identity and access management). Experience with C++, infrastructure design, and Android app development. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience with Security Analysis, Program Analysis, Decompiler. Knowledge of code and system health, diagnosis and resolution, and software test engineering. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will participate in the development of large scale Google infrastructure Design, as well as develop, and maintain scalable Google wide infrastructure to scan 1 million Android apps per day, manage Petabytes of analysis data, and protect over 3 billion devices. You will build systems to manage and extract intelligence from various sources and make the intelligence available to various internal systems and stakeholders The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Job/Position Summary: Data Engineer Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable. Implement best practices including proper use of source control, participation in code reviews, data validation and testing. Timely deliveries while working on projects. Act as advisor/mentor and helps junior data engineers in their deliverables. Must Have Skills: Should have experience of at least 4+ years with Data Engineering. Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment. Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks. Experience in programming at least one of with Python, Java, Scala, Shell Script. Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.). Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline. Experience in working on at least one Cloud (AWS or Azure or GCP). For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR. For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI. For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio. Sound familiarity in Versioning tools (Git, SVN etc.). Experience Mentoring students is desirable. Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics. History of contribution to Open Source. Requirement: ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud

Position: Backend Engineer / DevOps Engineer Experience: 4 8 years Industry: Technology / Software Development Job Type: Full-Time Primary Skillset: 4 8 years of experience in software development or backend engineering. Strong attention to detail. Proficiency in Linux/Unix environments. Experience with C/C++, Python, and Golang. Understanding of the complete backend workflow for web applications. Experience in building third-party software integrations and APIs. Release engineering skills (pip, rpm, deb, rvm). Familiarity with continuous integration platforms (Jenkins). Knowledge of Agile software development methodologies. Creative thinker and team player. Willingness to adopt and learn new technologies. Excellent communication skills. Strong resourcefulness and troubleshooting aptitude. Value Adds: Experience with Docker and Kubernetes deployments. Working experience with AWS or GCP. Familiarity with network technologies. Join Us! Let s celebrate work. Be part of a team that values creativity, collaboration, and continuous learning.

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

Mission As a Spark Backline Engineer you will help our customers to be successful with the Databricks Data Intelligence platform by resolving important technical customer escalations and the support team. You will be the technical bridge between support and engineering and the first line of defense for engineering. You will ensure that all issues are vetted by you before it reaches the engineering team. You will report to the Senior Backline Manager of the Backline Escalations Team. Outcomes Troubleshoot, resolve and suggest deep code-level analysis of Spark to address complex customer issues related to Spark core internals, Spark SQL, Structured Streaming and Databricks Delta. Provide best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers. Help the support team with detailed troubleshooting guides and runbooks. Contribute to automation and tooling programs to make daily troubleshooting efficient. Work with the Spark Engineering Team and spread awareness of upcoming features and releases. Identify Spark bugs and suggest possible workarounds. Demonstrate ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests Participate in weekend and weekday on call rotation. Competencies Minimum 5 years' experience developing, testing, and sustaining Python or Java or Scala-based applications. Comfortable with compiling, building and navigating the Apache Spark source code. Comfortable with identifying and applying patches/bug fixes to the Apache Spark source code. Experience in Big Data/Hadoop/Spark/Kafka/Elasticsearch data pipelines. Hands-on experience with SQL-based database systems. Experience in JVM, GC, Thread dump-based troubleshooting is required. Experience with AWS or Azure related services. Bachelor's degree in Computer Science or a related field is required. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Qualification : Bachelor's degree in Computer Science or a related field is required.

We re growing fast and attracting the best talent in the world. Bricksters as we call ourselves are a special mix of smart, curious, quick thinkers. If you ask a Brickster what they love about working here, you ll likely hear about our culture. We are seeking an experienced NOC Engineer to join our team. The successful candidate will be responsible for monitoring critical Databricks infrastructure and developing monitoring tools and alerting dashboards. They will also work closely with stakeholders to investigate and resolve incidents, perform root cause analysis, and propose solutions to increase the reliability and stability of the Databricks unified analytics platform. The impact you will have here: Monitor critical infrastructure, triage alerts to proactively identify incidents, and work with stakeholders to resolve incidents. Investigate incidents and propose solutions to improve platform reliability and stability. Perform root cause analysis for recurring incidents and provide proactive solutions. Develop toolings or automate processes to improve platform monitoring and alerting. Contribute to software development efforts to improve overall service reliability and stability. Communicate effectively with internal stakeholders, including executive staff, to provide incident analysis. Participate in war rooms and temporary communication channels during outages. Demonstrate cross-functional leadership and establish ownership of incidents and outages. Multitask on several incidents and/or projects Minimum of 5 years of experience as a NOC, SRE, or DevOps engineer Strong knowledge of cloud technologies such as Azure, AWS, and GCP Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, Pager Duty, etc. Experience with containers and orchestration technologies such as Docker and Kubernetes. Proficiency in automation and scripting Linux systems administration skills. Excellent communication skills. Willingness to learn Databricks products Bachelor's degree in Computer Science or a related field About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Qualification : Bachelor's degree in Computer Science or a related field is required.

Summary of Essential Job Functions: Design, develop, and maintain scalable and efficient data pipelines using Python, Pandas, Spark, and Dataflow. Strong expertise in relational databases, including SQL Server and MySQL, coupled with a deep understanding of cloud platforms. Construct and integrate large, complex data sets to fulfill both functional and non-functional business requirements. Analyze and integrate diverse systems and data sources through ETL processes and logic, ensuring timely and accurate data delivery to visualization teams and business stakeholders. Optimize and troubleshoot data pipelines to enhance performance, reliability, and scalability. Ensure data integrity and quality across the pipeline by implementing effective validation and testing strategies. Identify, design, and implement internal process improvements such as redesigning infrastructure for scalability, improving data delivery methods, and automating manual tasks. Collaborate with cross-functional teams to understand business data requirements and deliver solutions that meet organizational needs. Develop and maintain comprehensive documentation for data pipelines, including design specifications, code comments, and operational guides. Provide technical support for production issues, including troubleshooting, query optimization, and process enhancements. Offer technical guidance and mentorship to junior team members, promoting best practices and fostering continuous learning. Knowledge of data analytics tools such as PowerBI, Tableau, Data Studio, and Apache Superset is highly desirable. Work Experience & Qualifications: 8-10 years of experience in data design, development, and pipeline management. Excellent communication skills with the ability to engage effectively with both customers and internal teams. Bachelor s degree in Computer Science, Information Science, Data Science, or a related field. Qualification : Bachelors degree in Computer Science, Information Science, Data Science, or a related field.

Job Description HPE Global IT enables enterprise innovation through cutting-edge IT solutions. We develop advanced, scalable, and efficient IT systems that simplify business operations and drive global transformation. As a Senior Middleware Engineer, you will play a key role in designing, developing, and maintaining SnapLogic-based middleware solutions. You will work closely with cross-functional teams, providing technical leadership and ensuring seamless data integration across platforms. Your expertise will drive innovation, optimize performance, and enhance system reliability. Key Responsibilities Technical Leadership: Lead cross-functional teams in designing, developing, and optimizing SnapLogic-based middleware solutions. Integration Development: Build and maintain integrations using SnapLogic, Kafka, SFTP, SFDC, and APIs. Performance Optimization: Debug and optimize existing SnapLogic flows for efficiency and scalability. Automation & DevOps: Implement CI/CD pipelines, GIT version control, and automation scripts to streamline deployments. Testing & Agile Methodology: Ensure high-quality delivery by incorporating testing best practices and adhering to Agile methodologies. Stakeholder Collaboration: Work closely with business, IT, and external vendors to deliver seamless integration solutions. Support & Maintenance: Provide ongoing support, troubleshooting, and monitoring of middleware systems, including handling critical MTP or MI support shifts as needed. Required Qualifications Education & Experience: Bachelor s degree in a technical field (or equivalent experience). 12+ years of relevant experience (10+ years with a Master s degree). Technical Skills: Mandatory: 15+ years of IT experience, with 8+ years of hands-on SnapLogic experience. Expertise in debugging and optimizing SnapLogic flows. Strong experience with Kafka integration and utilization in SnapLogic. Solid understanding of CI/CD pipelines, GIT, and automation scripting. Hands-on experience with SFTP, SFDC, and API integrations. Advanced knowledge of modern software development methodologies, tools, and testing frameworks. Preferred: Strong project management and business analysis skills. Experience with vendor and customer management. Strong analytical and problem-solving abilities. Excellent communication, collaboration, and mentoring skills. Highly motivated, proactive, and eager to learn new technologies. Comfortable with working in shifts when required for critical support. Why Join HPE? Health & Wellbeing Comprehensive benefits package supporting physical, financial, and emotional wellness. Career Growth & Learning HPE invests in professional development through mentorship programs, technical training, and cross-functional career opportunities. Diversity & Inclusion We embrace diverse backgrounds and experiences, fostering an inclusive environment where everyone thrives. If you're passionate about middleware integration, innovation, and cutting-edge technology, join us and shape the future of enterprise IT! Qualification : Bachelors degree in a technical field (or equivalent experience).

About the Role We are seeking a Software QA Engineer to join our dynamic team and drive quality throughout the software development lifecycle. In this role, you will work closely with our software engineering team to ensure that requirements are clearly understood, achievable, and rigorously tested. You will be involved in testing complex systems and applications, while contributing to process improvements and ensuring high-quality releases. This position offers an exciting opportunity to work with cutting-edge technology and be a key advocate for quality in every phase of the development process. Key Responsibilities Collaboration: Work within our software engineering team to ensure requirements are understood, achievable, and tested thoroughly. Problem-Solving: Investigate and debug complex problems, driving them to closure. Test Planning: Create detailed, comprehensive, and well-structured test plans and test cases (end-to-end). Testing Coordination: Estimate, prioritize, plan, and coordinate testing activities across teams. Automated Testing: Design, develop, and execute automated test scripts to ensure consistent application functionality. Bug Tracking: Identify, record, document, and track bugs in detail. Regression Testing: Perform regression testing following the resolution of identified bugs. Metrics Tracking: Track and report on quality assurance metrics to ensure continuous improvement. Documentation: Contribute to the creation and maintenance of technical documentation related to test processes. Quality Advocacy: Be a vocal proponent for quality in every phase of the development process. Key Skills Software QA Methodologies: In-depth knowledge of QA methodologies, tools, and processes. Test Plans & Cases: Proven experience in writing detailed and comprehensive test plans and test cases. Automated Testing Tools: Hands-on experience with automated testing tools and knowledge of BDD test automation frameworks (e.g., Specflow, TestNG). GUI & API Testing: Experience in GUI testing (e.g., Selenium) and API testing. Programming Language: Preferably experience with C# for test automation. CI/CD: Familiarity with CI/CD pipelines (e.g., Azure DevOps Pipelines). SOA and Microservices: Experience working with SOA architectures and microservices. Machine Learning: An interest in Machine Learning technologies is a plus. Experience & Qualifications Experience: 7+ years of experience in software QA and automation testing. Test Execution: Ability to execute automated tests, understand the automation code, and prioritize the failures effectively. Self-Motivation: Passion for ensuring quality in software development. Communication Skills: Excellent verbal and written communication skills, with a focus on clear documentation and reporting. QA Methodologies: Strong knowledge of QA best practices, including writing test plans and test cases. Cloud Computing: Experience with cloud computing (applications, infrastructure, storage, platforms, data). Education: A University Degree in Computer Science, a related technical field, or equivalent practical experience. What We Offer Agile Working Environment: An agile and safe working environment that promotes flexibility and trust. Competitive Benefits: Competitive annual leave, sick leave, group incentive schemes, and insurance coverage (life, workmen s compensation, medical). Global Opportunities: Short and long-term global employment opportunities. Collaboration & Knowledge Sharing: Be part of a global team that emphasizes collaboration and knowledge sharing. Digital Innovation: Engage in initiatives focused on digital innovation and transformation. Equality, Diversity, and Inclusion At Mott MacDonald, we prioritize equality, diversity, and inclusion. We promote fair employment practices, ensuring equal opportunities for all. We encourage individual expression and are committed to creating an inclusive environment where everyone has the opportunity to contribute and thrive. Qualification : A University Degree in Computer Science, a related technical field, or equivalent practical experience.

We are looking for a motivated Lead Software Engineer with expertise in Java and Spring Boot to join our dynamic team. As a Lead Software Engineer, you will oversee the development and implementation of high-quality software solutions that meet business objectives. You will collaborate with cross-functional teams, provide technical guidance, and ensure adherence to best practices in software engineering. Responsibilities Lead the design and architecture of scalable Java applications using Spring Boot Develop and maintain RESTful services and APIs Implement and manage project builds with tools such as Gradle and Maven Conduct technical and functional analysis to identify system requirements Write comprehensive unit and integration test cases using JUnit, Mockito, and Cucumber Participate in code reviews to ensure code quality and adherence to standards Collaborate with global teams to align software development strategies Provide mentorship and support to junior software engineers Troubleshoot and debug issues in production environments Manage relational databases and data modeling with SQL or MongoDB Requirements 8 to 12 years of experience in Java, J2EE, and Spring technologies Proficiency in RESTful services design and implementation Background in using build automation tools such as Gradle and Maven Qualifications in writing test cases and experience with test-driven development Strong analytical skills for technical and functional analysis Competency in relational databases and either SQL or MongoDB Capability to work effectively in a global team environment Good communication skills and team-oriented approach Nice to have Familiarity with Queue-based technologies like Kafka Understanding of RDBMS and NoSQL databases, including DynamoDB, Cassandra, and Mongo Experience in Agile development processes like Scrum or Kanban We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 8 to 12 years of experience in Java, J2EE, and Spring technologies

WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world's best places to work with our One Bain culture, a champion of diversity and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 13 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. WHO YOU'LL WORK WITH You will join our Technology Delivery team within our Enterprise Technology practice, serving end-to-end technology and digital transformations for our priority clients. You can look forward to being embedded in teams consisting of other driven and curious Bain staff, working alongside other teams on process excellence, architecture, design, and software development, among others. With this uniquely diverse group, you will serve leading companies in every industry, helping them to define and implement tech-enabled transformations. WHAT YOU'LL DO Mission Ensure alignment between technology strategy and implementation, orchestrating client and third party teams Improve efficiency, effectiveness, and quality of clients business processes and operations in the context of large tech transformations Support implementation of large scale transformation programs to ensure efficient and effective implementation of strategic recommendations that align with clients' goals and objectives Help in implementing project management strategies to achieve project objectives, including scope, schedule, and budget Ensure the efficient and effective implementation of strategic recommendations, utilizing project management principles to monitor progress, mitigate risks, and ensure timely delivery of project outcomes Identify issues, create hypotheses, and execute analysis; translate data into meaningful insights; present recommendations to key decision-makers Move the client to action; develop a plan to implement the strategic recommendations; manage the execution Be a mentor to junior team members Essential functions Participate in end-to-end technology and digital transformation projects, solving the most pressing needs of our clients focusing primarily on the delivery and operationalization of strategic initiatives to achieve significant outcomes Establish and implement PMO tools such as Microsoft Project, ServiceNow, LeanIX from inception, guiding the team through onboarding to ensure seamless project operations and efficiency Support initiatives and assist in project management processes and activities, standards and governance to ensure project delivers value according to timeline and quality standards Collaborate with project teams to document and communicate project progress, risks, and issues effectively Stay informed about industry trends, emerging technologies, and best practices in project management to enhance expertise and contribute to client engagements Help in preparing and refining of project deliverables, including comprehensive reports, workshop materials, and compelling business proposals, ensuring alignment with project objectives and client expectations Research the client organization and industry; interview, conduct focus groups and facilitate workshops with client employees, management teams and other stakeholders Contribute to preparing project deliverables, including reports, workshop materials, and business proposals Identify issues, create hypotheses and execute analysis; translate data into meaningful insights; present recommendations to key decision makers Move the client to action; develop a plan to implement the strategic recommendations; manage the execution Be a mentor to junior team members ABOUT YOU Education Required: Bachelor's degree preferably in Business Administration, Computer Science / Engineering, Information management or other tech-related fields Preferred: Courses in digital/tech transformation Experience 2+ years of experience in consulting, preferably within the Tech industry Knowledge, skills and abilities Sound knowledge in IT operating models, enterprise architecture, cloud, process excellence, and business integration Knowledge of project management methodologies and best practices in program management, process improvement, and risk management to deliver tangible results and value through project management expertise Good knowledge of best practices in process improvement and risk management to deliver tangible results and deliver value Adept at bridging software and systems expertise with business leadership requirements Experience using specific project management tools in large IT transformations such as Microsoft Project, ServiceNow, LeanIX Familiarity with project management methodologies and best practices in program management, process improvement, and risk management Ability to assist in preparing and presenting project deliverables to key decision-makers, articulating insights and recommendations clearly Knowledge within Tech B2B specific context Demonstrated strong verbal and written communication skills, effective collaboration, organizational, and problem-solving skills Effective management and working skills, fostering collaboration and ensuring successful execution of project tasks and objectives Robust analytical skillset, with organized and deadline-driven ways of working A solid team player who s also an independent thinker Self-motivated and able to work under pressure and on a tight timeline Qualification : Required: Bachelor's degree preferably in Business...